Face Deepfake Authenticity Detection
Budget: $300 – $450 USD
I need a robust model that can look at a single facial image and tell me, with clear confidence scores, whether it is genuine or a deepfake. The scope is strictly image detection
Here is what I expect:
• A deep-learning–based classifier trained specifically on faces, capable of flagging “real” versus “fake” with high precision and recall.
• A lightweight inference script or REST API endpoint so I can drop an image in and immediately get the authenticity result.
• A concise README explaining data preprocessing, model architecture (PyTorch or TensorFlow preferred), and how to reproduce your results.
• Evaluation on a well-known benchmark (e.g., FaceForensics++, Celeb-DF) or a comparable dataset we agree on, along with the usual metrics—accuracy, precision, recall, F1, ROC-AUC and fairness metrics as well to make sure the model is fair. I have a design of the approach it’s already done
Delivery is complete when I can run your code on my own machine, feed it a still image of a face, and reliably see whether it is real or fake.
Here is what I expect:
• A deep-learning–based classifier trained specifically on faces, capable of flagging “real” versus “fake” with high precision and recall.
• A lightweight inference script or REST API endpoint so I can drop an image in and immediately get the authenticity result.
• A concise README explaining data preprocessing, model architecture (PyTorch or TensorFlow preferred), and how to reproduce your results.
• Evaluation on a well-known benchmark (e.g., FaceForensics++, Celeb-DF) or a comparable dataset we agree on, along with the usual metrics—accuracy, precision, recall, F1, ROC-AUC and fairness metrics as well to make sure the model is fair. I have a design of the approach it’s already done
Delivery is complete when I can run your code on my own machine, feed it a still image of a face, and reliably see whether it is real or fake.